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Exact(7)
Letting, should be a positive semidefinite matrix of rank.
Let B be a positive semidefinite matrix of order n.
Let (W_{i} in mathbb {M}_{k}) be a positive semidefinite matrix.
Let be a positive semidefinite matrix, let be a vector, and let be scalars.
For each t ∈ I, let B i ( t ) be a positive semidefinite n × n matrix with B i continuous on I, i = 1, 2, …, p and the symbol T denotes the transposition.
In the rest of section, we assume that x k → x ∗, k → ∞, where x ∗ ∈ S. Lemma 4.1 Let G ∈ R n × n be a positive semidefinite matrix and μ > 0. Then.
Similar(53)
Let and be an positive semidefinite Hermitian matrices with, and be the eigenvalues and, respectively, and let, be complex matrices with.
We show that a class of semidefinite programs (SDP) admits a solution that is a positive semidefinite matrix of rank at most r, where r is the rank of the matrix involved in the objective function of the SDP.
where is a positive semidefinite matrix, and denotes that is a positive semidefinite matrix.
A≽0 means A is a positive semidefinite (PSD) matrix.
A≽0 means A is a positive semidefinite matrix.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com